NDLI: Froth image segmentation algorithm

Content Provider	IEEE Xplore Digital Library
Author	Luya Wang Weixing Wang
Copyright Year	2000
Description	Author affiliation: Inst. of Image Recognition & Comput. Vision, Hunan Normal Univ., Changsha, China (Luya Wang)
Abstract	This paper describes a froth image segmentation algorithm. In order to determine the bubble size, shape and texture information from the froth images, the images have to be segmented. Because of the large variation of the froth image patterns and quality, it is difficult to use the existing segmentation algorithm. Therefore, we modified and combined different existing image segmentation algorithms to form a new segmentation algorithm for froth images. In the algorithm, we used and modified a thresholding algorithm to automatically detect the maximum bubbles, then perform a morphological technique to growing bubble regions. The over-segmentation problem was resolved by an object merging algorithm based on bubble shape analysis. In the paper, three froth image segmentation results are demonstrated, which show that the developed segmentation algorithm is reasonable for froth images.
Starting Page	480
Ending Page	483
File Size	445970
Page Count	4
File Format	PDF
ISBN	0780357477
DOI	10.1109/ICOSP.2000.894536
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-08-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Shape Computer vision Merging Inspection Algorithm design and analysis Machine vision Optical computing Computer aided manufacturing Production
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An Experimental Machine Vision Prototyper for the Inspection of Planar Webs

Image analysis and computer vision for mineral froth

Froth image segmentation algorithms and their validation

CAD based planning and execution of inspection

Consensus Region Merging for Image Segmentation

A new shape segmentation approach for active vision systems

A Novel Automatic Motion Segmentation Method Based on Optical Flow

Pattern Recognition and Computer vision for Mineral Froth

Application of Machine Vision in Defects Inspection and Character Recognition of Nameplate Surface

Froth image segmentation algorithm

Similar Documents

An Experimental Machine Vision Prototyper for the Inspection of Planar Webs

Image analysis and computer vision for mineral froth

Froth image segmentation algorithms and their validation

CAD based planning and execution of inspection

Consensus Region Merging for Image Segmentation

A new shape segmentation approach for active vision systems

A Novel Automatic Motion Segmentation Method Based on Optical Flow

Pattern Recognition and Computer vision for Mineral Froth

Application of Machine Vision in Defects Inspection and Character Recognition of Nameplate Surface

Froth image segmentation algorithm